Qwen3.6-35B-A3B

MERA Создан 02.05.2026 19:11

Оценки по задачам лидерборда

Таблица скроллится влево

Задача Результат Место в рейтинге
Сельское хозяйство 0.646 4
Медицина и здравоохранение 0.858 1

Информация о сабмите

Версия MERA
v1.0.0
Версия Torch
2.10.0
Версия кодовой базы
d539716
Версия CUDA
12.8
Precision весов модели
bfloat16
Сид
1234
Батч
1
Версия transformers
4.57.1
Количество GPU и их тип
8 x NVIDIA A100-SXM4-80GB
Архитектура
local-chat-completions

Команда:

MERA

Название ML-модели:

Qwen3.6-35B-A3B

Ссылка на ML-модель:

https://huggingface.co/Qwen/Qwen3.6-35B-A3B

Размер модели

36.0B

Тип модели:

Открытая

SFT

MoE

Дополнительные ссылки:

https://qwen.ai/blog?id=qwen3.6-35b-a3b

Описание архитектуры:

Qwen3.6-35B-A3B demonstrates that sparse MoE models can achieve remarkable agentic coding and reasoning capability. With only 3B active parameters, it delivers performance that rivals dense models several times its active size, while also excelling across multimodal benchmarks. As a fully open-source checkpoint, it sets a new standard for what’s possible at its scale.

Описание обучения:

Type: Causal Language Model with Vision Encoder Training Stage: Pre-training & Post-training Language Model Number of Parameters: 35B in total and 3B activated Hidden Dimension: 2048 Token Embedding: 248320 (Padded) Number of Layers: 40 Hidden Layout: 10 × (3 × (Gated DeltaNet → MoE) → 1 × (Gated Attention → MoE)) Gated DeltaNet: Number of Linear Attention Heads: 32 for V and 16 for QK Head Dimension: 128 Gated Attention: Number of Attention Heads: 16 for Q and 2 for KV Head Dimension: 256 Rotary Position Embedding Dimension: 64 Mixture Of Experts Number of Experts: 256 Number of Activated Experts: 8 Routed + 1 Shared Expert Intermediate Dimension: 512

Лицензия:

Apache license 2.0

Параметры инференса

Описание темплейта:
{%- set image_count = namespace(value=0) %} {%- set video_count = namespace(value=0) %} {%- macro render_content(content, do_vision_count, is_system_content=false) %} {%- if content is string %} {{- content }} {%- elif content is iterable and content is not mapping %} {%- for item in content %} {%- if 'image' in item or 'image_url' in item or item.type == 'image' %} {%- if is_system_content %} {{- raise_exception('System message cannot contain images.') }} {%- endif %} {%- if do_vision_count %} {%- set image_count.value = image_count.value + 1 %} {%- endif %} {%- if add_vision_id %} {{- 'Picture ' ~ image_count.value ~ ': ' }} {%- endif %} {{- '<|vision_start|><|image_pad|><|vision_end|>' }} {%- elif 'video' in item or item.type == 'video' %} {%- if is_system_content %} {{- raise_exception('System message cannot contain videos.') }} {%- endif %} {%- if do_vision_count %} {%- set video_count.value = video_count.value + 1 %} {%- endif %} {%- if add_vision_id %} {{- 'Video ' ~ video_count.value ~ ': ' }} {%- endif %} {{- '<|vision_start|><|video_pad|><|vision_end|>' }} {%- elif 'text' in item %} {{- item.text }} {%- else %} {{- raise_exception('Unexpected item type in content.') }} {%- endif %} {%- endfor %} {%- elif content is none or content is undefined %} {{- '' }} {%- else %} {{- raise_exception('Unexpected content type.') }} {%- endif %} {%- endmacro %} {%- if not messages %} {{- raise_exception('No messages provided.') }} {%- endif %} {%- if tools and tools is iterable and tools is not mapping %} {{- '<|im_start|>system\n' }} {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }} {%- for tool in tools %} {{- "\n" }} {{- tool | tojson }} {%- endfor %} {{- "\n</tools>" }} {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }} {%- if messages[0].role == 'system' %} {%- set content = render_content(messages[0].content, false, true)|trim %} {%- if content %} {{- '\n\n' + content }} {%- endif %} {%- endif %} {{- '<|im_end|>\n' }} {%- else %} {%- if messages[0].role == 'system' %} {%- set content = render_content(messages[0].content, false, true)|trim %} {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }} {%- endif %} {%- endif %} {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %} {%- for message in messages[::-1] %} {%- set index = (messages|length - 1) - loop.index0 %} {%- if ns.multi_step_tool and message.role == "user" %} {%- set content = render_content(message.content, false)|trim %} {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %} {%- set ns.multi_step_tool = false %} {%- set ns.last_query_index = index %} {%- endif %} {%- endif %} {%- endfor %} {%- if ns.multi_step_tool %} {{- raise_exception('No user query found in messages.') }} {%- endif %} {%- for message in messages %} {%- set content = render_content(message.content, true)|trim %} {%- if message.role == "system" %} {%- if not loop.first %} {{- raise_exception('System message must be at the beginning.') }} {%- endif %} {%- elif message.role == "user" %} {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }} {%- elif message.role == "assistant" %} {%- set reasoning_content = '' %} {%- if message.reasoning_content is string %} {%- set reasoning_content = message.reasoning_content %} {%- else %} {%- if '</think>' in content %} {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %} {%- set content = content.split('</think>')[-1].lstrip('\n') %} {%- endif %} {%- endif %} {%- set reasoning_content = reasoning_content|trim %} {%- if (preserve_thinking is defined and preserve_thinking is true) or (loop.index0 > ns.last_query_index) %} {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }} {%- else %} {{- '<|im_start|>' + message.role + '\n' + content }} {%- endif %} {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %} {%- for tool_call in message.tool_calls %} {%- if tool_call.function is defined %} {%- set tool_call = tool_call.function %} {%- endif %} {%- if loop.first %} {%- if content|trim %} {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }} {%- else %} {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }} {%- endif %} {%- else %} {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }} {%- endif %} {%- if tool_call.arguments is defined %} {%- for args_name, args_value in tool_call.arguments|items %} {{- '<parameter=' + args_name + '>\n' }} {%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %} {{- args_value }} {{- '\n</parameter>\n' }} {%- endfor %} {%- endif %} {{- '</function>\n</tool_call>' }} {%- endfor %} {%- endif %} {{- '<|im_end|>\n' }} {%- elif message.role == "tool" %} {%- if loop.previtem and loop.previtem.role != "tool" %} {{- '<|im_start|>user' }} {%- endif %} {{- '\n<tool_response>\n' }} {{- content }} {{- '\n</tool_response>' }} {%- if not loop.last and loop.nextitem.role != "tool" %} {{- '<|im_end|>\n' }} {%- elif loop.last %} {{- '<|im_end|>\n' }} {%- endif %} {%- else %} {{- raise_exception('Unexpected message role.') }} {%- endif %} {%- endfor %} {%- if add_generation_prompt %} {{- '<|im_start|>assistant\n' }} {%- if enable_thinking is defined and enable_thinking is false %} {{- '<think>\n\n</think>\n\n' }} {%- else %} {{- '<think>\n' }} {%- endif %} {%- endif %}

Параметры генерации:
agro_bench - do_sample=false;until=["<|im_end|>"];max_gen_toks=10000;\naqua_bench - do_sample=false;until=["<|im_end|>"];max_gen_toks=10000;\nmed_bench - do_sample=false;until=["<|im_end|>"];max_gen_toks=10000;

Размер контекста:
262144